Prior studies of a link between periodontal and cardiovascular disease have been limited by being predominantly observational. We used a treatment intervention model to study the relationship between periodontitis and systemic inflammatory and thrombotic cardiovascular indicators of risk. We studied 67 adults with advanced periodontitis requiring full-mouth tooth extraction. Blood samples were obtained: (1) at initial presentation, immediately prior to treatment of presenting symptoms; (2) one to two weeks later, before all teeth were removed; and (3) 12 weeks after full-mouth tooth extraction. After full-mouth tooth extraction, there was a significant decrease in C-reactive protein, plasminogen activator inhibitor-1 and fibrinogen, and white cell and platelet counts. This study shows that elimination of advanced periodontitis by full-mouth tooth extraction reduces systemic inflammatory and thrombotic markers of cardiovascular risk. Analysis of the data supports the hypothesis that treatment of periodontal disease may lower cardiovascular risk, and provides a rationale for further randomized studies.
To cite this article: Morel-Kopp M-C, Mullier F, Gkalea V, Bakchoul T, Minet V, Elalamy I, Ward CM, for the Subcommittee on Platelet Immunology. Heparin-induced multi-electrode aggregometry method for heparin-induced thrombocytopenia testing: communication from the SSC of the ISTH.
Observational studies indicate that chronic periodontal disease is associated with adverse cardiovascular outcomes. The aim of this study was to determine whether initial periodontal treatment has a beneficial effect on systemic markers of inflammation and cardiovascular risk. One hundred and thirty-six adults with chronic periodontitis were allocated to either intervention or control groups in a 3-month randomized controlled intervention study. The intervention group received initial periodontal treatment, whereas the control group did not receive that treatment until after the study. Blood levels of cardiovascular risk factors, and of hematological, inflammatory, and metabolic markers, were measured at the beginning and the end of the study, and differences were calculated. Fibrinogen level was the primary outcome measure. Data for 61 persons in the intervention group and for 64 persons in the control group were available for statistical analysis. Compared with the control group, the intervention group showed a non-significant trend for a lower fibrinogen level. Significant increases in hemoglobin and hematocrit were seen after treatment, showing that initial periodontal treatment, a relatively simple and cost-effective intervention, has systemic effects.
The heterodimeric complex glycoprotein (GP)IIb-IIIa, the fibrinogen receptor of platelets, carries numerous alloantigen systems. These polymorphisms are responsible for the immune response after transfusion or during pregnancy. In the latter case, the mother develops an antibody against an epitope present on fetal platelets, and this results in platelet destruction in the fetus. In this report, we describe the molecular characterization of a new alloantigen (Laa) on GPIIIa responsible for neonatal alloimmune thrombocytopenia (NAIT). Using polymerase chain reaction (PCR)–singlestrand conformation polymorphism (SSCP) and DNA sequencing, we found a point mutation (G to A) in a heterozygous state on the GPIIIa gene leading to amino acid substitution Arg to Gln at position 62 of the mature protein. Transient expression of GPIIb-IIIa complexes in Cos-7 cells using wild-type or mutated GPIIIa cDNA allowed us to demonstrate that this mutation was responsible for expression of the Laa epitope.
Whole genome sequencing (WGS) improves Mendelian disorder diagnosis over whole exome sequencing (WES); however, additional diagnostic yields and costs remain undefined. We investigated differences between diagnostic and cost outcomes of WGS and WES in a cohort with suspected Mendelian disorders. WGS was performed in 38 WES-negative families derived from a 64 family Mendelian cohort that previously underwent WES. For new WGS diagnoses, contemporary WES reanalysis determined whether variants were diagnosable by original WES or unique to WGS. Diagnostic rates were estimated for WES and WGS to simulate outcomes if both had been applied to the 64 families. Diagnostic costs were calculated for various genomic testing scenarios. WGS diagnosed 34% (13/38) of WES-negative families. However, contemporary WES reanalysis on average 2 years later would have diagnosed 18% (7/38 families) resulting in a WGS-specific diagnostic yield of 19% (6/31 remaining families). In WES-negative families, the incremental cost per additional diagnosis using WGS following WES reanalysis was AU$36,710 (£19,407;US$23,727) and WGS alone was AU$41,916 (£22,159;US$27,093) compared to WES-reanalysis. When we simulated the use of WGS alone as an initial genomic test, the incremental cost for each additional diagnosis was AU$29,708 (£15,705;US$19,201) whereas contemporary WES followed by WGS was AU$36,710 (£19,407;US$23,727) compared to contemporary WES. Our findings confirm that WGS is the optimal genomic test choice for maximal diagnosis in Mendelian disorders. However, accepting a small reduction in diagnostic yield, WES with subsequent reanalysis confers the lowest costs. Whether WES or WGS is utilised will depend on clinical scenario and local resourcing and availability.
SummaryThe human CD36 antigen is an integral membrane glycoprotein expressed by platelets, monocytes, endothelial cells and various tumor cell lines. CD36 acts as a receptor for thrombospondin, collagen, Plasmodium falciparum-infected erythrocytes and oxidized low- density lipoprotein. Individuals possessing the Naka-negative phenotype do not express CD36 and risk developing anti-CD36 isoantibodies upon blood transfusion or during pregnancy. In the present study, we have examined the interaction of an anti-Naka serum with recombinantly expressed CD36. Results obtained show that five functional CD36 monoclonal antibodies (OKM5, FA6-152, L103, ESIV-C7 and 10/5) prevent the binding of the anti-Naka serum whereas a single monoclonal antibody (13/10) has no effect. Consistent with this result, an epitope map of CD36 generated using cross-blocking experiments, indicates that the inhibitory monoclonal antibodies recognize closely- related epitopes whereas 13/10 reacts with a distinct CD36 determinant. Furthermore, we have demonstrated, in a recent study, that OKM5, FA6-152, L103 and 10/5 bind to the same CD36 domain defined by amino acids 155 to 183. Taken together, our results indicate that the 155-183 sequence is important for the binding of the anti-Naka serum to CD36 and may represent a surface-exposed, immunogenic and presumably functional region on human CD36.
The implementation of high‐throughput sequencing (HTS) technologies in research and diagnostic laboratories has linked many new genes to rare bleeding, thrombotic, and platelet disorders (BTPD), and revealed multiple genetic variants linked to those disorders, many of them being of uncertain pathogenicity when considering the accepted evidence (variant consequence, frequency in control datasets, number of reported patients, prediction models, and functional assays). The sequencing effort has also resulted in resources for gathering disease‐causing variants associated with specific genes, but for BTPD, such well‐curated databases exist only for a few genes. On the other hand, submissions by individuals or diagnostic laboratories to the variant database ClinVar are hampered by the lack of a submission process tailored to capture the specific features of hemostatic diseases. As we move toward the implementation of HTS in the diagnosis of BTPD, the Scientific and Standardization Committee for Genetics in Thrombosis and Haemostasis has developed and tested a REDCap‐based interface, aimed at the community, to submit curated genetic variants for diagnostic‐grade BTPD genes. Here, we describe the use of the interface and the initial submission of 821 variants from 30 different centers covering 14 countries. This open‐access variant resource will be shared with the community to improve variant classification and regular bulk data transfer to ClinVar.
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